The tourism industry is one of the most susceptible industries against the crisis and crisis management in tourism industry would be turned into an inevitable necessity. The present study tries to provide practical solutions to the crisis in the tourism industry by defining and describing the crisis in the tourism industry, using the technique of the failure mode and effect analysis. This preventive approach is an action against what may happen in the future and obviously, the implementation of remedial measures in the early stages will cost less money and time. This is an applied developmental research which by examining existing models for crisis management and taking into account the nature of the services in the tourism industry, presented a model for managing crisis prevention in this industry. Finally, the proposed research model was validated by a team of industry and university experts.

Introduction: Tourism literature is devoid of a concept by the name of the Smart Tourism Organization (STO). Given the lack of research into this concept, some questions arise around it. For instance, given the advances in tourism in the new millennium, what has changed in the structure of tourism service organizations? Considering the competitive nature of the tourism industry and the technologies advancement, can the traditional structure of tourism organizations satisfy tourists, managers, stakeholders, and employees? The present study was conducted with a comprehensive approach to organizations in the postmodern era (Hatch, 2018) and seeks a new type of organization for the subject of STO. This new type of organization recognizes the different dimensions of intelligence in the external environment of organizations and seeks to train them. The primary purpose of this study is to select the dimensions of intelligence in tourism organizations and the effect of these dimensions on the development of a smart tourism organization according to the situation of this industry....

The convergence of Mining Heritage Tourism (MHT) and Artificial Intelligence (AI) presents a transformative paradigm, reshaping heritage preservation, visitor engagement, and sustainable growth. This paper investigates the dynamic synergy between these realms, probing how AI-driven technologies can augment the authenticity, accessibility, and educational significance of mining heritage sites. Focusing on the profound impact of AI on MHT, this study centers its examination on the Barr Conglomerate located in the culturally rich Pali District, India. Employing a mixed-methods approach involving survey data analysis and neural network modelling, the research work explores AI applications that enhance visitor experiences, interpret historical narratives, optimize resource allocation, and mitigate the adverse effects of over-tourism. The study meticulously navigates a vast landscape of AI technologies, spanning machine learning, natural language processing, and augmented reality, show-casing their potential to enrich encounters with mining heritage. While AI promises to revolutionize heritage management, the paper emphasizes the critical importance of ethical considerations and cultural sensitivities. Balancing innovation with preservation, the study advocates for an inclusive approach that honors diverse cultural values and encourages community engagement. Through this exploration, the paper delves into the practical implementation of AI, unveiling best practices lessons learned and illuminating challenges and opportunities. Ultimately, this research work envisions a future where AI empowers mining heritage to transcend temporal boundaries, cultivating immersive experiences resonating with authenticity, global understanding, and sustainable stewardship.

With the advent of cyberspace and development of data and information, virtual cities were presented as new forms of city management in different layers and territories. Historic and Tourism virtual city are among eight types of virtual cities. In this article some guidelines were presented in order to design and manage them based on Tehran tourist's need assessment. Theoretical framework of this article is based on Dual globalization paradigm and use of Good Urban Governance theory. For using this theory at urban tourism area, its eight indexes were redefined and finally a three-levels table of hypothetical needs including intercity tourist, intercity tourist and international tourist, constructed. These hypothetical needs were tested by using survey method (online questionnaire). The results of this research, showed the priority needs of Tehran tourists based on which final guidelines for designing and management of Tehran historic tourism virtual city were presented.